At a Glance
- Tasks: Transform data into actionable insights and enhance customer outcomes across global markets.
- Company: Join a leading global tech organisation with a focus on innovation.
- Benefits: Competitive daily rate, hybrid work model, and opportunities for professional growth.
- Other info: Fast-paced environment with opportunities to engage with stakeholders and drive change.
- Why this job: Make a real impact by shaping data strategies and driving customer success.
- Qualifications: Experience in data analytics, strong SQL skills, and a passion for AI.
London (Hybrid, 2 days per week in office) | Contract | £250 - 300pd
We're working with a leading global tech organisation to hire a Business Data Analyst to help build and scale core data capabilities across multiple international markets. This is a high-impact role focused on turning data into actionable insight, strengthening data foundations and enabling AI-ready analytics across Customer Success, Digital Experience, Service Delivery and Support functions.
You'll sit in the International Customer Success analytics team and play a key role in improving how customer outcomes are measured, understood and improved across non-US markets. This is not a pure BI role, it's end-to-end analytics, from building data foundations through to dashboards, insight generation and strategic storytelling.
Key Responsibilities- Build and strengthen data foundations, pipelines and governance, ensuring scalable, consistent datasets across international regions
- Support AI-ready data structures, including clear documentation, standardisation and data quality improvements for downstream AI consumption
- Design and deliver scalable dashboards and reporting, connecting customer journey metrics
- Perform deep-dive analysis and root cause insights to identify drivers of customer issues, digital adoption and operational performance
- Support A/B testing and experimentation, analysing outcomes and quantifying business impact
- Communicate insights through strong storytelling, translating complex analysis into clear, actionable recommendations
- Experience in Data Analytics or Data Science, ideally within Customer Success, Digital or Operations environments
- Strong SQL skills (essential)
- Experience with Tableau, Qlik or PowerBI
- Exposure to Snowflake, Databricks, Spark or ETL processes (desirable)
- Python experience (nice to have)
- Strong understanding of statistics, A/B testing and experimentation
- Experience working with customer/digital or contact centre KPIs preferred
- Comfortable working in fast-paced, ambiguous environments with multiple priorities
- Genuine interest in AI and automation, with curiosity around how GenAI can improve analytics workflows
You're a proactive data analyst who goes beyond reporting, someone who connects the dots between data, insight and business impact. You're comfortable engaging with stakeholders, challenging requirements where needed and thinking strategically about the 'so what' behind the numbers.
Business Data Analyst in London employer: Jobs via eFinancialCareers
Join a leading global tech organisation that values innovation and collaboration, offering a dynamic hybrid work environment in London. As a Business Data Analyst, you'll have the opportunity to make a significant impact on customer success across international markets while enjoying a culture that fosters professional growth and embraces cutting-edge technologies like AI. With competitive pay and a focus on employee development, this role is perfect for those looking to turn data into actionable insights in a supportive and forward-thinking workplace.
StudySmarter Expert Advice🤫
We think this is how you could land Business Data Analyst in London
✨Tip Number 1
Network like a pro! Reach out to people in the industry, attend meetups, and connect on LinkedIn. You never know who might have the inside scoop on job openings or can refer you directly.
✨Tip Number 2
Prepare for interviews by practising your storytelling skills. Be ready to explain how your data insights have driven real business impact in past roles. We want to see that you can turn numbers into narratives!
✨Tip Number 3
Show off your skills with a portfolio! Create a few case studies or dashboards that highlight your analytical prowess. This is your chance to demonstrate how you can build data foundations and deliver actionable insights.
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure your application gets seen by the right people. Plus, we love seeing candidates who are proactive about their job search!
We think you need these skills to ace Business Data Analyst in London
Some tips for your application 🫡
Tailor Your CV:Make sure your CV speaks directly to the role of Business Data Analyst. Highlight your experience with SQL, data analytics, and any relevant tools like Tableau or PowerBI. We want to see how your skills align with our needs!
Craft a Compelling Cover Letter:Your cover letter is your chance to tell us why you're the perfect fit for this role. Share specific examples of how you've turned data into actionable insights and improved customer outcomes. Let your personality shine through!
Showcase Your Analytical Skills:In your application, don’t just list your skills—demonstrate them! Include examples of projects where you’ve built data foundations or delivered dashboards. We love seeing how you connect the dots between data and business impact.
Apply Through Our Website:We encourage you to apply directly through our website. It’s the best way for us to receive your application and ensures you’re considered for the role. Plus, it shows you’re keen on joining our team at StudySmarter!
How to prepare for a job interview at Jobs via eFinancialCareers
✨Know Your Data Inside Out
Make sure you’re well-versed in the data analytics tools mentioned in the job description, especially SQL. Brush up on your skills and be ready to discuss how you've used them in past roles. Prepare examples of how you've turned data into actionable insights.
✨Showcase Your Storytelling Skills
This role emphasises the importance of translating complex analysis into clear recommendations. Think about how you can present your past projects in a way that highlights your ability to communicate insights effectively. Practise telling a compelling story with your data.
✨Prepare for Technical Questions
Expect questions around A/B testing, statistics, and data governance. Be ready to explain your thought process and methodologies. It’s also a good idea to have a few scenarios in mind where you’ve improved data quality or built scalable dashboards.
✨Demonstrate Your Curiosity About AI
Since the role involves supporting AI-ready data structures, show your genuine interest in AI and automation. Be prepared to discuss how you think GenAI can enhance analytics workflows and share any relevant experiences you have in this area.
